过程(计算)
点过程
可靠性(半导体)
泊松过程
计算机科学
泊松点过程
泊松分布
特征(语言学)
休克(循环)
点(几何)
统计物理学
应用数学
数学
统计
物理
医学
功率(物理)
语言学
哲学
几何学
量子力学
内科学
操作系统
出处
期刊:Nucleation and Atmospheric Aerosols
日期:2019-01-01
卷期号:2133: 450026-450026
被引量:1
摘要
Point process is very useful tool in reliability applications. Until now, the nonhomogeneous Poisson process has taken very important role in reliability area as a useful model for arrival process. The generalized Polya process (GPP) has been recently introduced and characterized in the literature. Distinct from the nonhomogeneous Poisson process, the important feature of this process is the dependence of its future behavior on the number of previous events. In this article, we briefly introduce the GPP and discuss its applications to two types of shock models.
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